湿地水环境可持续性概念辨析

20世纪60年代以来,随着全球性的生态与资源危机的不断出现,使得人们不得不开始检讨传统的经济发展观,寻求探索新的发展模式。20世纪80年代初期,由联合国环境与发展委员会提出的可持续发展理论,得到了世界各国的普遍认同。然而,从1992年的巴西里约热内卢到2002年的南非约翰内斯堡,可持续发展在这十年间遭遇到理论与实验的双重＂困境＂。2001年,23名世界著名学者在美国《科学》上发表了《可持续性科学》的论文,想用这样一个严格的科学定义来替代意义分歧的可持续发展,避免可持续发展走入歧途。从此,人们越来越频繁地使用＂可持续性＂一词,但怎么实现可持续性则众说不一。学术界对＂可持续性＂和＂可持续发展＂概念的讨论也非常活跃且一直没有间断过。在此,从＂可持续性＂的历史成因出发,分析其在生物学、生态学及环境学等方面的含义,探讨＂可持续性＂一词在湿地水环境这一具体领域的应用,提出＂湿地水环境可持续性＂这一概念,并深入分析其内涵和主要特征,为后续湿地水环境可持续性度量作理论铺垫。     

中国工业SO2排放量动态变化分析

中国工业SO2减排工作的重点。经济增长、经济空间结构变化、技术进步是影响污染物排放量变化的三个重要因素。在分析我国工业SO2排放量、排放结构、排放强度等变化趋势的基础上,通过构建对数平均权重分解模型定量分解经济增长、结构变化、技术进步这3个因素对工业SO2排放量变化的贡献。结果表明：（1）中国工业SO2排放量年均增长48.7×10^4 t,年均增长率为3.2%,且2002—2006年增速加快;（2）分地区看,1991年以来,东部地区SO2排放量所占比重明显下降,中部地区略有上升,而西部地区所占比重增加显著;（3）单位产值工业SO2排放强度在研究期内迅速降低,年均下降幅度为8.4%,对减缓SO2排放量的过快增长起到了积极作用;（4）经济增长平均每年促进SO2排放量增长183.7×10^4 t,技术进步则平均每年使SO2排放量减少134.2×10^4 t,空间结构因素平均每年减少SO2排放量0.8×10^4 t。可以看出,长期以来,虽然我国的技术水平有了一定程度提高,但经济规模的扩张使中国工业SO2排放量持续增长,对中国环境压力形成了巨大压力,同时,经济总量在不同地区的分配对SO2排放量的影响也在不断变化中。     

丛枝菌根真菌对羊草凋落物降解作用的研究

丛枝菌根真菌（Abuscular mycorrhizal fungi）能够影响植物生长及养分含量,从而影响凋落物的降解。采用根袋的方法研究了接种两种丛枝真菌Glomus mosseae和Glomus claroideum对羊草（Leymus chinensis）地上部及根系凋落物降解的影响。结果表明,随时间的延长,凋落物的重量逐渐减少,凋落物氮、磷含量均表现出先下降后逐渐升高的趋势。接种对地上部凋落物的养分含量及降解速度未产生显著性影响,但显著降低了根系氮磷含量及降解系数。接种Glomus mosseae和Glomus claroideum羊草根系氮、磷含量均显著低于CK;接种与未接种相比羊草根系k值显著降低;根系C：N未接种处理显著低于接种处理。说明丛枝菌根真菌可能间接影响草原生态系统中有机物质的分解和养分释放。     

无机离子对磷钨酸光催化活性艳橙脱色降解的影响

报道了10种无机离子(NO3-,SO42-,CO32-,PO43-,Cl-,Mg2+,Ca2+,Cu2+,Mn2+和Al3+)对磷钨酸光催化活性艳橙(KGN)溶液反应的影响.研究表明,NO3-,SO42-,CO32-和PO43-对光催化KGN溶液降解有一定的促进作用,但随着NO3-浓度的增大,该促进作用不再增大;SO24-和CO23-在不同浓度下对光催化反应有较强的促进作用,但随着SO42-和CO32-浓度的增长,其促进作用呈降低趋势;当PO34-浓度高于0.15mmol.l-1时,随着PO34-浓度的增大,光催化反应发生抑制,并且随着浓度的增长,抑制作用有增强的趋势;Cl-对光催化脱色反应存在较强的抑制作用,除在0.075mmol.l-1的浓度时,Cl-对反应无明显影响外,其它浓度下都使光催化反应发生抑制,并且随着Cl-浓度的增加,抑制作用明显增强.Mg2+和Ca2+在不同浓度下对磷钨酸光催化KGN反应略微有促进作用;Cu2+对活性艳橙光催化脱色反应影响不显著;而Mn2+和Al3+离子对光催化反应效率存在一定抑制作用.     

A Metamodeling Approach for Integrated Assessment of Air Quality Policies

A method is proposed to build integrated models (also called Metamodels) aimed at quantifying the economic efficiency of air quality policies. This Metamodeling approach is based on the coupling of two complementary models, that operate at different scales in space and time, and which represent the economic and the physical and chemical processes, respectively. The joint consideration of the physico-chemical and techno-economic structure of the pollution control problems permits a comprehensive evaluation of air pollution abatement strategies. The motivating pollution control problems include urban-regional air quality management through efficient energy and traffic control policies. A pilot study, exploiting data collected in the Geneva canton (Switzerland), is used to demonstrate the potential of the approach.     

Short-term wind speed forecasting based on random forest model combining ensemble empirical mode decomposition and improved harmony search algorithm

ABSTRACT

Wind speed forecasting plays an important role in power grid dispatching management. This article proposes a short-term wind speed forecasting method based on random forest model combining ensemble empirical modal decomposition and improved harmony search algorithm. First, the initial wind speed data set is decomposed into several ensemble empirical mode functions by EEMD, then feature extraction of each sub-modal IMF is performed using fast Fourier transform to solve the cycle of each sub-modal IMF. Next, combining the high-performance parameter optimization ability of the improved harmony search algorithm, two optimal parameters of random forest model, number of decision trees, and number of split features are determined. Finally, the random forest model is used to forecast the processing results of each submodal IMF. The proposed model is applied to the simulation analysis of historical wind data of Chaoyang District, Liaoning Province from April 27, 2015 to May 22, 2015. To illustrate the suitability and superiority of the EEMD-RF-IHS model, three types of models are used for comparison: single models including ANN, SVM, RF; EMD combination models including EMD-ANN, EMD-SVM, EMD-RF; EEMD combination models including EEMD-ANN, EEMD-SVM, EEMD-RF. The analysis results of evaluation indicators show that the proposed model can effectively forecast short-term wind data with high stability and precision, providing a reference for forecasting application in other industry fields.     

A comparative investigation of NdSrCu_(1-x) Co_x O_(4-δ) and Sm_(1.8) Ce_(0.2) Cu_(1-x) Co_x O_(4-δ) (x:0–0.4) for NO decomposition

A series of single-phase T-structured NdSrCu 1-x Co x O 4-δ with oxygen vacancies and T -structured Sm 1.8 Ce 0.2 Cu 1-x Co x O 4-δ (x: 0–0.4) with oxygen excess were prepared using ultrasound-assisted citric acid complexing method, and characterized by means of techniques such as thermogravimetric analysis and NO temperature-programmed desorption (NO-TPD). The catalytic activities of these materials were evaluated for the decomposition of NO. It was found that the NdSrCu 1-x Co x O 4-δ catalysts were of oxygen vacancies whereas the Sm 1.8 Ce 0.2 Cu 1-x Co x O 4-δ ones possessed excessive oxygen (i.e., over-stoichiometric oxygen); with a rise in Co doping level, the oxygen vacancy density of NdSrCu 1-x Co x O 4-δ decreased while the over-stoichiometric oxygen amount of Sm 1.8 Ce 0.2 Cu 1-x Co x O 4-δ increased. The NO-TPD results revealed that NO could be activated much easier over the oxygen-deficient perovskite-like oxides than over the oxygen-excessive perovskite-like oxides, with the NdSrCuO 3.702 catalyst showing the best efficiency in activating NO molecules. Under the conditions of 1.0% NO/helium, 2800 hr -1 , and 600–900°C, the catalytic activity of NO decomposition followed the order of NdSrCuO 3.702 NdSrCu 0.8 Co 0.2 O 3.736 NdSrCu 0.6 Co 0.4 O 3.789 Sm 1.8 Ce 0.2 Cu 0.6 Co 0.4 O 4.187 Sm 1.8 Ce 0.2 Cu 0.8 Co 0.2 O 4.104 Sm 1.8 Ce 0.2 CuO 4.045 , in concord with the sequence of decreasing oxygen vacancy or oxygen excess density. Based on the results, we concluded that the higher oxygen vacancy density and the stronger Cu 3+ /Cu 2+ redox ability of NdSrCu 1-x Co x O 4-δ account for the easier activation of NO and consequently improve the catalytic activity of NO decomposition over the catalysts.     

人工湿地处理污染河水和湿地植物腐烂分解影响研究

以高原复合型人工湿地为研究对象,在水力负荷为0．067m／d的条件下,监测湿地对CODCr、TN、TP、氨氮的去除率达到了66．3％、82．5％、43．2％、76％;采集了梭鱼草、美人蕉、芦苇、水葱、茭白、再力花6种挺水植物地上部分,测定了它们的TN、TP、有机质等营养物质含量和它们腐烂分解过程中TN、TP、COD等释放强度。结果表明：梭鱼草、美人蕉、茭白释放强度较强,再力花和芦苇释放强度较弱,在选择湿地植物时综合考虑植物吸收污染物能力情况下,可以优先考虑再力花、芦苇等植物。     

考虑环境约束的中国资源型城市全要素能源效率及其差异研究

论文采用考虑非期望产出的SBM模型测算了考虑环境约束的中国资源型城市全要素能源效率,并对全要素能源效率差异进行分解研究.研究发现:第一,多数资源型城市处于非效率状态,不同类别城市间效率差异明显,并且这种差异并未随时间明显改善;第二,按区域分组,区域内差异是造成全要素能源效率总体差异的主因,其中,中部区域组内差异是造成总体差异的最重要因素;第三,按规划综合分类分组,各群组内部差异是造成总体差异的主因,其中,成熟型组内差异是造成总体差异的最重要因素;第四,按资源类型分组,各群组内部差异是造成总体差异的主因,其中,煤炭类组内差异与综合类组内差异是造成总体差异最为重要的前两位因素.在研究结果的基础上,论文探讨了相关的含义.     

产业结构调整对山东省碳排放的影响

在全球变暖的背景下,山东作为工业大省,碳排放总量居全国第一。因此,如何通过“转方式、调结构”以控制和减少碳排放是山东省日益紧迫的重大课题。论文采用LMDI分解方法定量分析了1994-2010 年山东省产业结构调整对碳排放的影响,并在此基础上结合LEAP模型预测2030 年之前的产业结构调整对山东碳排放的贡献。得出以下结论：①1994-2010 年产业结构效应为351.39×10⁴ t 标煤,对碳排放增长的贡献度为3.91%;②工业比重上升或下降1 个百分点所对应的CO₂排放量增加或减少78.6×10⁴～83.7×10⁴ t 标煤;③在基准情景和低碳情景下,到2030 年未来产业结构的调整对CO₂ 排放增长的贡献率分别约为-5.3%和-10.4%。这表明,与此前产业结构变动导致碳排放量增加的情形相反,未来产业结构的调整有助于减少碳排放。